There is a fairly straightforward way to load older versions
of packages, and that is to use the 'groundhog' package.
As the first sentence of https://groundhogr.com/ puts it:
Make your R scripts reproducible by replacing library(pkg)
with groundhog.library(pkg, date).
pkg can be a vector of package names or a single name.
On Wed, 11 Oct 2023 at 20:58, Uwe Ligges <ligges at
statistik.tu-dortmund.de>
wrote:>
>
> On 10.10.2023 17:34, Sabine Braun wrote:
> > On the github website I have reported several bugs with new versions
of
> > the tidyverse group (probably dplyr) which prevent me from using R
> > normally. I wanted to go back to older versions but this seems not bo
be
> > easy. I downloaded R 4.1.2. and Rtools 40 but the library versions
>
> So this is on Windows.
>
> Actually, if you install R-4.1.2 and use a clean library and install
> binaries, then you should get binary installation from CRAN that fit to
> the R-4.1.x series.
>
> If you want to install older package versions, then you have to install
> these one by one from sources, unfortunately.
>
> Best,
> Uwe Ligges
>
>
>
> > installed are still the newest ones. I was able to install dplyr
1.0.7.
> > manually but there are error messages on incompatibility when loading
> > this version. Is there a possibility to load older library versions
> > which alre compatible ?
> >
> > Thank you very much!
> >
> > Best regards
> >
> > Sabine Braun
> >
> >
>
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